The 18.12 Data Release includes data from human studies and computational tools.


  • The APOEPSC Study
    This study provides bulk RNA sequencing and shotgun lipidomics data from cerebral organoids differentiated from control-line and APOE-knockout iPSCs. 

    • This release provides multi-dimensional mass spectrometry-based shotgun lipidomics profiles of parental and isogenic APOE -/- samples at culture days 30 and 90. 
  • The HBI_scRNAseq Study
    This study provides scRNA sequencing 10x Cellranger counts for 33 blood and brain samples for patients across several neurological diseases, including CITEseq data for one blood sample.

    •  This release adds raw fastq files for all  scRNAseq and CITESeq samples.
  • The FreshMicro Study
    This study provides transcriptomic, epigenetic, and genetic variation data on microglia isolated from fresh autopsy and biopsy specimens taken from individuals in the ROSMAP cohort, the Mount Sinai/JJ Peters VA Medical Center NIH Brain and Tissue Repository, and the Living Brain Project. 

    • This release corrects an error in the specimenIDs in the ATACseq and RNAseq count matrices. The specimenIDs in these data files now correspond to those in the metadata files. 
  • The MRGWAS Study
    This study of exceptional longevity provides the results file from a two Sample Mendelian Randomization analysis done to analyze the relationship between significantly associated GWAS traits from large publicly available datasets and five distinct longevity definitions.


    Weighted Sample Gene Network Analysis (WSCNA) identifies sample clusters by analyzing gene expression correlations between sample pairs to build a correlation network which is used to calculate a TOM score that groups similar samples together via k-means clustering. WSCNA extends the WINA algorithm to samples by transposing the input matrix so that sample-sample correlations are compared.